The Veteran’s Health Administration is searching for a Supervisory Data Scientist, according to a job posting on USAJobs.gov.
This position reports directly to the Director of the National Center for Collaborative Healthcare Innovation (NCCHI). NCCHI is managed in collaborative agreement with the National VHA Innovation Ecosystem; under the Deputy Undersecretary for Health, and the VA Palo Alto HealthCare System (VAPAHCS). The national VA technological infrastructure to be utilized includes cloud-based systems such as VA Enterprise Cloud, Python, R, Data bricks, SQL, Microsoft Azure Machine Learning, Amazon AWS Artificial Intelligence & Machine Learning Suite, and other emerging technologies and tools.
According to the posting, duties for the Supervisory Data Scientist include:
- Makes recommendations for future development, monitors implementation, and performance for scalable solutions, as appropriate.
- Collaborates and work with the national VHA Innovation Ecosystem, under the Deputy Undersecretary for Health, to collaborate on the prioritization, development, and testing of scalable solutions that facilitate far reaching positive outcomes for both clinical and nonclinical teams to be utilized throughout the country.
- Expert knowledge in data science and analytic techniques. Personally, performing and/or leading teams in conducting analyses using statistical tools such as mathematics, statistics, performance measurement, and advanced analytics such as artificial intelligence, machine learning and natural language processing for cloud computing and analyzing data sets.to define opportunities, quantify, and rigorously validate new or improved innovative solutions.
- Codes with languages such as python or R and uses SQL and other data processing and analytics tools and software to analyze data sets and uses data visualization tools such as MS Power BI, Tableau, MS Excel, ArcGIS, and others to generate reports and develop compelling stories that convey statistical or technical information to non-technical audiences.
- Have broad understanding of healthcare workflows and care delivery, allowing them to identify problems that can be improved or solved through data science solutions.
- Responsible for extracting and analyzing data, using high-level programming languages and advanced statistical methods.
